Evidence map›Paper›PMID 31368456›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2019

Network Pharmacology-Based Pharmacological Mechanism of the Chinese Medicine Rhizoma drynariae Against Osteoporosis.

Donghao Gan, Xiaowei Xu, Deqiang Chen, Peng Feng, Zhanwang Xu

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

  1. Article
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  5. Review
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  8. Article
  9. Article
  10. Uncovering the effects and molecular mechanism ofFrontiers in pharmacology · 2023
    Article
  11. Effect ofFrontiers in endocrinology · 2022
    Article
  12. Article
  13. Role of Traditional Chinese Medicine in Bone Regeneration and Osteoporosis.Frontiers in bioengineering and biotechnology · 2022
    Review
  14. Uncovering the Effect and Mechanism ofFrontiers in pharmacology · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. In Silico Network Analysis of Ingredients of Cornus officinalis in Osteoporosis.Medical science monitor : international medical journal of experimental and clinical research · 2021
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Donghao GanFirst College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China (mainland).
Xiaowei XuFirst College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China (mainland).
Deqiang ChenFirst College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China (mainland).
Peng FengFirst College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China (mainland).
Zhanwang XuFirst College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China (mainland).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

d_abstr_R Rhizoma drynariae is the main traditional Chinese medicine used for the treatment of osteoporosis, but its anti-osteoporotic targeting mechanism has not been fully elucidated due to the complexity of its active ingredients. In this study, the pharmacological mechanism of action of Rhizoma drynariae against osteoporosis was studied by integrating pharmacological concepts. The pharmacokinetic characteristics of selected major active constituents of Rhizoma drynariae and the SMILES structural similarity were used to predict related targets. A literature search was conducted to identify known osteoporosis treatment targets, which were then combined with the predicted targets to construct the direct or indirect target interaction network map of Rhizoma drynariae against osteoporosis. Finally, data on the key targets of the interactions, ranked according to relevant node parameters obtained through pathway enrichment analysis and screening of key targets and active ingredients of Rhizoma drynariae, were used to perform molecular docking simulation. We screened 16 active ingredients of Rhizoma drynariae, and 7 key targets with direct or indirect effects with a high frequency were obtained. These main pathways were found to play important roles in the PI3k-akt signaling pathway, osteoclast differentiation, Wnt signaling pathway, and estrogen signaling pathway. Molecular docking showed that most active ingredients of Rhizoma drynariae had strong binding efficiency with key targets. Based on network pharmacology, we conclude that Rhizoma drynariae plays an anti-osteoporotic role by directly or indirectly targeting multiple major signaling pathways and influencing the proliferation and differentiation of multiple types of cells.

Indexed as

ChinaComputer SimulationDatabases, FactualDrug DevelopmentDrugs, Chinese HerbalHumansMedicine, Chinese TraditionalMolecular Docking SimulationOsteoporosisPharmacokineticsPharmacological and Toxicological PhenomenaPolypodiaceaeProtein Interaction MapsDrugs, Chinese Herbal

Identifiers

PMID31368456
PMCPMC6688518

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.